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Documents related to » data warehouse definition olap


Best Practices for a Data Warehouse on Oracle Database 11g
Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW

data warehouse definition olap  Practices for a Data Warehouse on Oracle Database 11g Best Practices for a Data Warehouse on Oracle Database 11g If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Oracle has been helping customers like you manage your business systems and information with reliable, secure, and integrated technologies. Source : Oracle Resources Related to Data Warehouse : Data Warehouse (Wikipedia) Best Practices for a Data Warehouse on Oracle Read More...
A One-stop Event for Business Intelligence and Data Warehousing Information
The Data Warehousing Institute (TDWI) hosts quarterly World Conferences to help organizations involved in data warehousing, business intelligence, and

data warehouse definition olap  warehouse, or managing a data warehouse team. What Works: Best Practices in Business Intelligence and Data Warehousing , also distributed quarterly, gives readers a comprehensive collection of case studies, questions and answers, and lessons learned from the experts. TDWI e-mail newsletters provide up-to-date news and industry commentary. These publications provide users with continual information on the industry, and can help identify pitfalls in order to prevent them from making those same mistakes. Read More...
Data Mart Consolidation and Business Intelligence Standardization
Making information broadly and easily available to more users throughout an organization—and beyond the organization to customers, partners, and stakeholders

data warehouse definition olap  of placing consistent, integrated data into the hands of everyone who needs it. Learn how a data mart consolidation program can help you improve decision making while cutting costs. Read More...
Is There Finally a Metadata Exchange Standard on the Horizon?
On September 27, a group of vendors including Oracle, IBM, Unisys, NCR, and Hyperion Solutions announced the submission of a metadata interchange standard to

data warehouse definition olap  the metadata within the data movement tool''s repository, and that likely can not be shared with any other product. In addition, the user is now forced to ensure that both repositories are synchronized when the source tables change. To alleviate this and other issues, many vendors have been considering using the Extensible Markup Language (XML) standard. The Common Warehouse Metadata Interchange (CWMI) standard is the next step in this effort. The Object Management Group (OMG) is an industry standards Read More...
A Definition of Data Warehousing
There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing

data warehouse definition olap  technology management experience and data warehouse design expertise, and has published 36 books and more than 350 articles in major computer journals. His books have been translated into nine languages. He is known globally for his seminars on developing data warehouses and has been a keynote speaker for every major computing association. Before founding Pine Cone Systems, Bill was a co-founder of Prism Solutions, Inc. Ralph Kimball Ralph Kimball was co-inventor of the Xerox Star workstation, the first Read More...
Data Management Wish List: IT Is Open to Big Changes
Data management, access, and analysis haven’t always received the same amount of consideration, or respect, as the corporate applications that generate and

data warehouse definition olap  Open to Big Changes Data management, access, and analysis haven’t always received the same amount of consideration, or respect, as the corporate applications that generate and consume the data. In recent years, however, information technology (IT) leaders have focused much more attention on their organizations’ data management platforms and capabilities. Download this white paper to get a better picture of the current data management landscape. Read More...
Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise
While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to

data warehouse definition olap  Best Practices: Managing Sensitive Data in the Enterprise While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help. Read More...
Responding to Warehouse Management Needs
The area of warehouse management systems and supply chain execution might be the best examples of Adonix'' commitment to provide small and large businesses with

data warehouse definition olap  Advanced Warehousing and Adonix Data Collection module s provide RF directed support for primary warehouse activities including receiving, put-away, palletized order picking, pick planning, and shipping. The Adonix X3 Inventory module provides core location and stock management functionality as an integrated component within Adonix X3. It can work either as a paper-based solution or with ADC support for most inventory transactions. This is Part Three of a four-part note. Part One detailed the company and Read More...
Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses
Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has

data warehouse definition olap  BI Platform to Distribute Data Mining and Predictive Analytics to the Masses Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more. Read More...
Is Your Warehouse Ready for the Upswing?
Supply chain management is a long-term strategy. The centerpiece for supply chain execution—the warehouse management system (WMS)—is an excellent place to start

data warehouse definition olap  Operating Efficiency | Real-time Data | SOA | Support Changing Customer Requirements | Maximizing Staff Productivity | Increase Customer Satisfaction | Maximizing Products | Maximizing Available Storage Space | Help Business Reduce Labor Costs | Maximizing Equipment | High Jump Warehouse Management System Vendors | Slotting Products | Maximize Space Utilization | Reducing the Distance Pickers Travel | Adapt to Changing Business Conditions | Visibility of Trailers and Their Locations | Increase Read More...
Considerations for Owning versus Outsourcing Data Center Physical Infrastructure
When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both

data warehouse definition olap  for Owning versus Outsourcing Data Center Physical Infrastructure When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both quantitative and qualitative differences to consider. The 10-year TCO may favor upgrading or building over outsourcing; however, this paper demonstrates that the economics may be overwhelmed by a business’ sensitivity to cash flow, cash crossover point, deployment timeframe, data center life Read More...
Operationalizing the Buzz: Big Data 2013
The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the

data warehouse definition olap  the Buzz: Big Data 2013 The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. Research conducted by Enterprise Management Associates (EMA) and 9sight Consulting makes a clear case for the maturation of Big Data as a critical approach for innovative companies. The survey went beyond simple questions of strategy, adoption, and Read More...
The Value of Big Data
As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity

data warehouse definition olap  Value of Big Data As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value. Read More...
Oracle Warehouse Builder: Better Late than Never?
Close to a year behind schedule, Oracle released Warehouse Builder to the market. Oracle, in an interesting contradiction in terms, has stated that the product

data warehouse definition olap  an extensible and easy-to-use data warehouse design and deployment framework. As part of Oracle''s Intelligent WebHouse Initiative, Oracle Warehouse Builder automates much of the work that goes into creating a powerful, single data store for e-business analysis, specifically with its ability to integrate historical data with the massive, daily influxes of online data from web sites. The product, already in production at nearly 20 beta sites worldwide, is available for purchase tomorrow. The Oracle Read More...
Overall Approach to Data Quality ROI
Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company

data warehouse definition olap  Approach to Data Quality ROI Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI. Read More...
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